Results 131 to 140 of about 24,307 (267)
Molecular Photogearing for Controlling Rotary Motion at the Nanoscale. [PDF]
Arpa EM, Durbeej B.
europepmc +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Investigation of Flow Characteristics in a Stirred-Tank Bioreactor with Flexible Blades via Integrated PIV and Image Recognition. [PDF]
Xu W, Cai C, Li Z, Lu H, Yang C, Liu B.
europepmc +1 more source
Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won +5 more
wiley +1 more source
Effects of Propeller and Stirring-Speed on the Rheological, Physicochemical, and Sensory Characteristics of Creamed Honeys. [PDF]
Silva LOA +6 more
europepmc +1 more source
Fuel‐free Cu2O‐based micromotors functionalized with β‐cyclodextrin actively remove bisphenol A from water under visible light. The cyclodextrin shell captures BPA and enhances micromotor motility, leading to faster degradation and higher overall removal than nonfunctionalized Cu2O and Cu2O@Au.
Luisa Natalia Cordoba Urresti +3 more
wiley +1 more source
Topological rules and anomalies in intramolecular G-quadruplex folding: a comprehensive study. [PDF]
Granzhan A, Mouawad L.
europepmc +1 more source
FiN‐Kiri: Fabric‐Based Inflatable Kirigami Actuator for Multimodal Soft Robots
This study introduces a type of inflatable fabric‐based kirigami actuator capable of performing bending motion. The actuator is utilized as soft grippers, a crawling robot and a swimming robot. The crawling robot demonstrated extraordinary motion capabilities, such as moving forward, turning and navigating a narrow tunnel.
Yang Yu +12 more
wiley +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source

